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Proceedings Paper

Optimization of chest and lumbar spine radiography by Monte Carlo modeling of the patient and imaging system
Author(s): Michael P. Sandborg; Graham McVey; David R. Dance; Gudrun Alm Carlsson; Francis R. Verdun
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Paper Abstract

A novel approach to patient dose and image quality optimization was developed and implemented for chest and lumbar spine radiography. A Monte Carlo model of the imaging chain, including an anthropomorphic voxel-phantom to simulate the patient, was utilized. Detector noise and system unsharpness were modeled and their influence on image quality considered. Image quality was quantified by the contrast ((Delta) OD) and the ideal observer signal-to-noise (SNR) for a number of relevant image details at various positions in the anatomy and measures of dynamic range (DR). Among systems evaluated in a clinical trial, a reference system, acknowledged to yield acceptable image quality, was selected. A large variety of other imaging conditions were simulated and compared to the reference system. Some of the simulated systems were found to give as good imaging performance but at substantially reduced patient doses: 35% and 50% reduction in the lumbar spine AP and the chest PA view, respectively. The model was also used to define a single-valued 'figure-of- merit,' the physical image quality score, PIQS, with the aim to make possible ranking of the imaging systems. By comparing the ranking according to PIQS with radiologists' ranking it was possible to analyze the features in the images which are clinically important.

Paper Details

Date Published: 28 May 1999
PDF: 11 pages
Proc. SPIE 3659, Medical Imaging 1999: Physics of Medical Imaging, (28 May 1999); doi: 10.1117/12.349521
Show Author Affiliations
Michael P. Sandborg, Linkoeping Univ. (Sweden)
Graham McVey, Royal Marsden NHS Trust (United Kingdom)
David R. Dance, Royal Marsden NHS Trust (United Kingdom)
Gudrun Alm Carlsson, Linkoeping Univ. (Sweden)
Francis R. Verdun, Ctr. Universitaire de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 3659:
Medical Imaging 1999: Physics of Medical Imaging
John M. Boone; James T. Dobbins, Editor(s)

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